About This Architecture

High-throughput transaction queue processing system using stored procedures to fetch, filter, and parallelize calculation methods across 5 million transactions. The pipeline ingests transactions from TRANS_QUEUE via G_RUN_CALC_METHODS_SP, applies status-based filtering (R, N, E, EXPRESS) with priority method codes and point-in-time constraints, then distributes work across four parallel processes for method calculation. Each parallel process executes independent method calculations before wrapping results through G_CALL_METHODS_WRAP_SP, enabling horizontal scaling without blocking. This architecture demonstrates how to balance serial filtering logic with parallel compute to maximize throughput while maintaining transaction consistency and priority ordering. Fork this diagram to customize filtering rules, adjust parallelism degree, or adapt the queue polling strategy for your specific transaction volume and SLA requirements.

People also ask

How do you design a transaction queue system that processes millions of records with parallel method calculations while maintaining priority ordering?

This diagram shows a queue-based architecture that fetches 5M transactions, applies serial filtering by status (R, N, E, EXPRESS) and priority method codes, then forks work across 4 parallel processes for independent method calculations before consolidating results. This pattern separates serial filtering logic from parallel compute to maximize throughput while preserving transaction consistency a